Prashant Loyalka

3.4k total citations · 1 hit paper
95 papers, 2.1k citations indexed

About

Prashant Loyalka is a scholar working on Education, Safety Research and Demography. According to data from OpenAlex, Prashant Loyalka has authored 95 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Education, 28 papers in Safety Research and 28 papers in Demography. Recurrent topics in Prashant Loyalka's work include School Choice and Performance (37 papers), Global Educational Reforms and Inequalities (27 papers) and Poverty, Education, and Child Welfare (26 papers). Prashant Loyalka is often cited by papers focused on School Choice and Performance (37 papers), Global Educational Reforms and Inequalities (27 papers) and Poverty, Education, and Child Welfare (26 papers). Prashant Loyalka collaborates with scholars based in United States, China and Russia. Prashant Loyalka's co-authors include Scott Rozelle, James Chu, Yaojiang Shi, Chengfang Liu, Linxiu Zhang, Martín Carnoy, Binzhen Wu, Hongmei Yi, Hongbin Li and Guirong Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Management Science.

In The Last Decade

Prashant Loyalka

89 papers receiving 1.9k citations

Hit Papers

Skill levels and gains in university STEM education in Ch... 2021 2026 2022 2024 2021 20 40 60

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Prashant Loyalka United States 28 987 540 406 341 329 95 2.1k
John Jerrim United Kingdom 27 1.2k 1.2× 670 1.2× 117 0.3× 278 0.8× 190 0.6× 149 2.3k
Anne West United Kingdom 31 2.0k 2.0× 983 1.8× 115 0.3× 554 1.6× 370 1.1× 154 2.9k
Jonah E. Rockoff United States 20 2.5k 2.5× 661 1.2× 273 0.7× 107 0.3× 129 0.4× 40 3.6k
Dan Goldhaber United States 37 5.1k 5.2× 566 1.0× 444 1.1× 173 0.5× 243 0.7× 238 5.8k
Anna Vignoles United Kingdom 31 1.9k 1.9× 1.1k 2.0× 216 0.5× 355 1.0× 383 1.2× 108 3.2k
C. Kirabo Jackson United States 21 1.7k 1.8× 485 0.9× 312 0.8× 119 0.3× 149 0.5× 56 2.3k
Gary T. Henry United States 32 2.1k 2.1× 477 0.9× 197 0.5× 216 0.6× 66 0.2× 99 3.6k
Scott Carrell United States 18 1.3k 1.4× 508 0.9× 411 1.0× 56 0.2× 123 0.4× 47 2.3k
Daniel Koretz United States 24 2.0k 2.0× 241 0.4× 208 0.5× 148 0.4× 92 0.3× 99 2.7k
Carolyn J. Hill United States 18 933 0.9× 253 0.5× 164 0.4× 135 0.4× 46 0.1× 34 1.9k

Countries citing papers authored by Prashant Loyalka

Since Specialization
Citations

This map shows the geographic impact of Prashant Loyalka's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Prashant Loyalka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prashant Loyalka more than expected).

Fields of papers citing papers by Prashant Loyalka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prashant Loyalka. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Prashant Loyalka. The network helps show where Prashant Loyalka may publish in the future.

Co-authorship network of co-authors of Prashant Loyalka

This figure shows the co-authorship network connecting the top 25 collaborators of Prashant Loyalka. A scholar is included among the top collaborators of Prashant Loyalka based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Prashant Loyalka. Prashant Loyalka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Abbey, Cody, Yue Ma, Dorien Emmers, et al.. (2024). Generalizable evidence that computer assisted learning improves student learning: A systematic review of education technology in China. SHILAP Revista de lepidopterología. 6. 100161–100161. 2 indexed citations
2.
Zhang, Lijin, Andrew Ho, Prashant Loyalka, et al.. (2024). Heterogeneity of Item-Treatment Interactions Masks Complexity and Generalizability in Randomized Controlled Trials. Journal of Research on Educational Effectiveness. 18(4). 854–877. 7 indexed citations
3.
Bettinger, Eric, et al.. (2022). Diminishing Marginal Returns to Computer‐Assisted Learning. Journal of Policy Analysis and Management. 42(2). 552–570. 6 indexed citations
4.
Loyalka, Prashant, Ou Lydia Liu, Guirong Li, et al.. (2021). Skill levels and gains in university STEM education in China, India, Russia and the United States. Nature Human Behaviour. 5(7). 892–904. 73 indexed citations breakdown →
5.
Loyalka, Prashant, Ou Lydia Liu, Guirong Li, et al.. (2021). Author Correction: Skill levels and gains in university STEM education in China, India, Russia and the United States. Nature Human Behaviour. 5(7). 955–955. 3 indexed citations
6.
Mistree, Dinsha, et al.. (2021). Instructional interventions for improving COVID-19 knowledge, attitudes, behaviors: Evidence from a large-scale RCT in India. Social Science & Medicine. 276. 113846–113846. 7 indexed citations
7.
Wang, Huan, Sarah‐Eve Dill, Huan Zhou, et al.. (2021). Health, economic, and social implications of COVID‐19 for China's rural population. Agricultural Economics. 52(3). 495–504. 21 indexed citations
8.
Li, Guirong, et al.. (2020). Large-scale international assessments of learning outcomes: balancing the interests of multiple stakeholders. Journal of Higher Education Policy and Management. 43(2). 198–213. 1 indexed citations
9.
Bettinger, Eric, et al.. (2020). Does EdTech Substitute for Traditional Learning? Experimental Estimates of the Educational Production Function. NBER Working Paper No. 26967.. National Bureau of Economic Research. 2 indexed citations
10.
Ma, Yue, Robert W. Fairlie, Prashant Loyalka, & Scott Rozelle. (2020). Isolating the "Tech" from EdTech: Experimental Evidence on Computer Assisted Learning in China. NBER Working Paper No. 26953.. National Bureau of Economic Research. 3 indexed citations
11.
Fairlie, Robert W. & Prashant Loyalka. (2020). Schooling and Covid-19: lessons from recent research on EdTech. npj Science of Learning. 5(1). 13–13. 15 indexed citations
12.
13.
Loyalka, Prashant, et al.. (2019). The impact of teacher professional development programs on student achievement in rural China: evidence from Shaanxi Province. Journal of Development Effectiveness. 11(2). 105–131. 21 indexed citations
14.
Chu, James, et al.. (2018). Stereotype Threat and Educational Tracking: A Field Experiment in Chinese Vocational High Schools. Socius Sociological Research for a Dynamic World. 4. 2 indexed citations
15.
Loyalka, Prashant, et al.. (2017). Absolute Versus Comparative Advantage: Consequences for Gender Gaps in STEM and College Access. SSRN Electronic Journal. 4 indexed citations
16.
Loyalka, Prashant, Xiaoting Huang, Linxiu Zhang, et al.. (2015). The Impact of Vocational Schooling on Human Capital Development in Developing Countries : Evidence from China. RePEc: Research Papers in Economics. 3 indexed citations
17.
Loyalka, Prashant, Sean Sylvia, Chengfang Liu, James Chu, & Scott Rozelle. (2015). Teaching to the Tails: Teacher Performance Pay and the Distribution of Student Achievement.. Society for Research on Educational Effectiveness. 1 indexed citations
18.
Loyalka, Prashant, Lan Liu, Gong Chen, & Xiaoying Zheng. (2014). The Cost of Disability in China. Demography. 51(1). 97–118. 61 indexed citations
19.
Loyalka, Prashant, et al.. (2014). Factors affecting the quality of engineering education in the four largest emerging economies. Higher Education. 68(6). 977–1004. 34 indexed citations
20.
Carnoy, Martín, et al.. (2013). University Expansion in a Changing Global Economy. Stanford University Press eBooks. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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